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The attribution system for forward-thinking teams.

Built for accuracy, designed for the AI era.

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Where did the money come from?

03/08/26 V | A4 | AS_3LP | New_Angle

117 of 117 attributed conversion events matched across all stages75.7% chain coverage of all credited revenueThe funnel ladder changed at v2, 2026-08-14

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As of 12 Sept

Spend

$8,400

Revenue

$21,000

Profit

$12,600

Ada Okafor

Trailing 30 days40 judged · 3 awaiting verdict

Sets

57

41 occurred · 3 upcoming · 13 cancelled or moved

Shows

14

14 showed out of 40 judged · 35.0%

Closed

5

35.7% close rate

Revenue through the calls they set

$17,500

Org

100% chain coverage

Revenue

$52,500

Spend

$21,000

Profit

$31,500

ROAS

2.50x

Clients

15

Cost per client

$1,400

Nothing matches that.

First-party data, first-class decisions.

Understand the ads, team members, and journeys that produce your best clients.

  1. Ad

    03/08/26 V | A4 | AS_3LP | New_Angle

    Telo: CA CBO Scale

    Spend

    $21,000

    Last 30d · Last non-direct

    75.7% chain coverage of all credited revenue

  2. Setter

    Ada Okafor

    Cost per Set

    $129

  3. Closer

    Dana Whitfield

    Cost per Qualified

    $280

  4. Deal

    Outcome

    Won

    CAC

    $1,400

    Closed 24 Aug

  5. Retention

    Lifetime value

    $38,400

Calls read against criteria you wrote, recorded with the version that read them.

You author the rubric. Publishing it mints a version, and every call records which version read it, so a number from March is still explainable in December.

Call analysis, routing trustSample data
  • Verified by SignetThe authenticated source is the one routing fact Signet resolves itself.
  • Declared by senderA value supplied by whoever sent the recording, shown as such.

Signet distinguishes what it verified from what a sender asserted. It never lets the second look like the first.

Revenue split three ways, because one unbound number is a lie.

A single figure for revenue you cannot attribute reads as a matching failure. Usually it is not. Signet separates the money that predates measurement from the money still waiting to be tied to a sale.

Revenue coverageSample data
  • BoundTied to a sale, counted in ROAS
  • Pre-trackingPredates measurement, not from your ads
  • OrganicMeasured, not yet tied to an ad sale

bound + pre-tracking + organic equals the ledger total. The buckets are labelled so the total never implies a failure it does not describe.

A verdict carries its evidence, or there is no verdict.

Below the sample floor Signet does not round up to a recommendation. It shows what is still missing and what it would take to conclude. These are the real components, in the states the product actually renders.

Ad verdictsSample data
  • Scale-readySolid

    CAC $212 · 48 closed · 90d

    Enough evidence to trust this

  • MaturingMaturing

    CAC $260 · 19 closed · 90d

    Still closing, not final yet

  • Needs more dataNeeds more data

    CAC · 3 closed · 90d

    Not enough evidence yet

Verified-good green is reserved for Scale-ready alone. Needs-more-data and Maturing both render as insufficient, and insufficient wears a dashed outline so the state survives a grayscale render.

Sigil answers from the same data the page rendered with.

Ask about any number on the page. Sigil cites the read it used, and anything it did not compute from your data is marked as guidance rather than dressed up as a finding.

Sigil, answer classesSample data
Data-groundedSigil's guidance, not computed from your data

A grounded value exists only as a fragment minted from a real read. A number the model writes as prose has no fragment behind it, so it can never wear a grounded badge. Fabrication is a representational impossibility rather than an error caught afterwards.

Plainly

You will hate this if you want a number in every cell.

Signet refuses to fill a gap with a plausible figure. When a sample is too small to support a verdict, it shows the shortfall instead of the verdict. Teams who want a dashboard that always looks confident are happier elsewhere.

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